code: def test(
      self, test_case_description, params, input, features, expected
  ):
      # Create input tensors
      input_tensor = torch.from_numpy(np.array(input)).to(
          dtype=torch.float, device=torch.device("cpu")
      )
      feature_tensor = torch.from_numpy(np.array(features)).to(
          dtype=torch.float, device=torch.device("cpu")
      )
  
      # apply filter
      crf = CRF(*params)
      output = crf(input_tensor, feature_tensor).cpu().numpy()
  
      # Ensure result are as expected
      np.testing.assert_allclose(output, expected, atol=1e-4)
  
file_path: MONAI/tests/test_crf_cpu.py
imports: from __future__ import annotations
  import unittest
  import numpy
  import torch
  from parameterized import parameterized
  from monai.networks.blocks import CRF
  from tests.utils import skip_if_no_cpp_extension
label_desc: Use image node_id 1 for calling the CRFTestCaseCpu obj's underlying member method code with example usage: obj.test(test_case_description, params, input, features, expected) without return types